Refactor VORP roster assignment in Streamlit app to utilize combined position and rank for mapping halfPPR and custom match dictionaries, enhancing accuracy in player evaluations.

src/streamlit_app.py

@@ -395,8 +395,9 @@ def assign_vorp_roster(frame: pd.DataFrame, halfPpr_rv: dict, custom_rv: dict, p
         pos_frame = frame[frame['Pos'] == positions]
         pos_frame = pos_frame[pos_frame['Rank'] != 0]
         pos_frame = pos_frame.sort_values(by='Rank', ascending=True).reset_index(drop=True)
-        halfPpr_rv_var = pos_frame['Rank'].map(half_ppr_match_dict)
-        custom_rv_var = pos_frame['Rank'].map(custom_match_dict)
+        pos_frame['pos_rank_initial'] = pos_frame['Pos'] + pos_frame['Rank'].astype(str)
+        halfPpr_rv_var = pos_frame['pos_rank_initial'].map(half_ppr_match_dict)
+        custom_rv_var = pos_frame['pos_rank_initial'].map(custom_match_dict)
         
         pos_frame['halfPpr_rv'] = halfPpr_rv[positions]
         pos_frame['custom_rv'] = custom_rv[positions]
@@ -440,8 +441,6 @@ def main():
     
     # Calculate VORP and rankings
     pos_des_dict, orig_rank_dict, half_ppr_match_dict, custom_match_dict = assign_vorp_scoring(position_df, halfPpr_rv, custom_scoring_rv, user_league_settings, user_pos_vorp_limiters)
-    print(half_ppr_match_dict)
-    print(custom_match_dict)
     final_df = assign_vorp_roster(position_df, halfPpr_rv, custom_roster_rv, user_pos_vorp_limiters, half_ppr_match_dict, custom_match_dict)
     final_df = final_df.drop(columns=['SR_ID'], axis=1)
     final_df['Name_Lookup'] = final_df['Name'].map(orig_rank_dict)